Q3: How do we conduct the application and development of ill-equipped methods?    As other research stressed before, queries do not have to be perfect to be trustworthy [1]}. But it has to be communicated what their capabilities are and how these limit the explanation-based causal statement. This is of cause an age-old story in science, linear models can only extract linear relationships, and it has to be asserted for what kind of data this is enough and where relationships are more complex. Thus, future frameworks and research have to evaluate under what circumstances certain query classes fail or succeed, and match them with modalities, domains, and specific questions they answer. Their adaptation to, e.g., volumetric and video data should be encouraged, which has been largely ignored at this point, and examined if current methods also prevail on these modalities. Further, the development of new methods has to be tied to quantitative evaluation, and not based on a qualitative assessment which favours the confirmation bias, leading to the application of unfaithful methods.
